Displaying 20 results from an estimated 300 matches similar to: "The function 'any' (PR#2503)"
2003 Mar 13
2
The function 'apply' (PR#2633)
Full_Name: Paul Louisell
Version: 1.6.2
OS: Windows NT
Submission from: (NULL) (192.249.47.9)
I've found a problem with either the 'apply' or 'is.factor' functions, and it
seems like it might be cause for concern. Here are the commands taken directly
from the R session:
> is.factor(test.frame[, 1])
[1] TRUE
> is.factor(test.frame[, 2])
[1] TRUE
>
2002 Jul 31
3
SHLIB
Hi,
I'm having a problem using the 'SHLIB' command in R. I keep getting syntax
errors. The help gives the following usage for it:
Rcmd SHLIB [-o dllname] files
'files' is supposed to be a list of files, but whether I set up a list or a
character vector, I still get a syntax error. Does anyone know if they're
are supposed to be quotes somewhere in there? If someone has an
2004 Nov 12
2
Loading libraries in 2.0.0 (PR#7364)
I'm using version 2.0.0 of R on a Windows 2000 OS. Packages that I installed
in 1.9.1 are not installing properly in 2.0.0. Specifically, I can install
packages from local zip files with the following code (which I execute
through the GUI):
> install.packages(choose.files('',filters=Filters[c('zip','All'),]),
.libPaths()[1], CRAN = NULL)
updating HTML package
2002 Aug 04
3
Fortran DLLs
Hello everyone,
I'm using R 1.5.1 on Windows.
I chose the option 'Install Source Files' when installing R.
The code below shows my use of the command SHLIB and the error I get.
C:\R\rw1051\bin>Rcmd SHLIB C:\Stage 9 (Phase 2)\cir3int.f
'perl' is not recognized as an internal or external command,
operable program or batch file.
I'm assuming I'm missing some perl
2002 Jul 26
1
RNG in R
Hi,
I'm working with a programmer on translating code I wrote for a simulation
in S into FORTRAN. Since the S source code is not available, I decided to
use the random number generator (RNG) in R. The problem is that the R code
is complex enough that we can't isolate the proper source files to include.
Although we can link to the C code and call the RNG, we haven't been able to
find
2003 Nov 06
1
Question about computing offsets automatically
Hi,
I'm using R version 1.8.0 on Windows NT. When fitting a glm with Poisson
random component and a log link, I frequently need to include an offset.
Typically I use xtabs or table to get the counts for the contingency table,
and then I use as.data.frame.table to create a data frame that I can use in
the glm function. I have not found an option that allows me to total the
offset variable to
2007 Jan 23
3
Loess with more than 4 predictors / offsets
Hello,
Does anyone know of an R version of loess that allows more than 4
predictors and/or allows the specification of offsets? For that matter,
does anyone know of _any_ version of loess that does either of the
things I mention?
Thanks,
Paul Louisell
650-833-6254
ploua@allstate.com
Research Associate (Statistician)
Modeling & Data Analytics
ARPC
[[alternative HTML version deleted]]
2018 May 08
2
unlist errors on a nested list of empty lists
On 08/05/2018 2:58 PM, Duncan Murdoch wrote:
> On 08/05/2018 1:48 PM, Steven Nydick wrote:
>> Reproducible example:
>>
>> x <- list(list(list(), list()))
>> unlist(x)
>>
>> *> Error in as.character.factor(x) : malformed factor*
>
> The error comes from the line
>
> structure(res, levels = lv, names = nm, class = "factor")
>
2005 Apr 25
1
The eigen function
I'm using R version 2.0.1 on a Windows 2000 operating system. Here is some
actual code I executed:
> test
[,1] [,2]
[1,] 1000 500
[2,] 500 250
> eigen(test, symmetric=T)$values
[1] 1.250000e+03 -3.153033e-15
> eigen(test, symmetric=T)$values[2] >= 0
[1] FALSE
> eigen(test, symmetric=T, only.values=T)$values
[1] 1250 0
> eigen(test, symmetric=T,
2018 May 09
2
unlist errors on a nested list of empty lists
On 08/05/2018 4:50 PM, Steven Nydick wrote:
> It also does the same thing if the factor is not on the first level of
> the list, which seems to be due to the fact that the islistfactor is
> recursive, but if a list is a list-factor, the first level lists are
> coerced into character strings.
>
> > x <- list(list(factor(LETTERS[1])))
> > unlist(x)
> Error in
2012 Sep 03
1
Possible page inefficiency in do_matrix in array.c
In do_matrix in src/array.c there is a type switch containing :
case LGLSXP :
for (i = 0; i < nr; i++)
for (j = 0; j < nc; j++)
LOGICAL(ans)[i + j * NR] = NA_LOGICAL;
That seems page inefficient, iiuc. Think it should be :
case LGLSXP :
for (j = 0; j < nc; j++)
for (i = 0; i < nr; i++)
LOGICAL(ans)[i + j * NR] = NA_LOGICAL;
or more simply :
case
2018 May 08
2
unlist errors on a nested list of empty lists
Reproducible example:
x <- list(list(list(), list()))
unlist(x)
*> Error in as.character.factor(x) : malformed factor*
What should happen:
unlist(x)
> NULL
R.version
platform x86_64-apple-darwin15.6.0
arch x86_64
os darwin15.6.0
system x86_64, darwin15.6.0
status
major 3
minor 5.0
year 2018
month 04
day
2007 Jan 13
1
R on UNIX Sun-Solaris 10.0 vs. S-Plus
This is a general question to people who've installed R on a UNIX
sparc-sun-solaris platform:
Have you had any issues related to maintaining R on this platform, e.g.,
installations that didn't work, instances of R crashing and possibly
requiring a new installation, etc?
I'm especially interested in anyone who has experience with both R and
S-Plus on this OS. Is there any reason to
2007 Jun 11
1
compiler usage after successful UNIX build
Hi,
I believe my question is pretty simple, but I'd like to give you brief
background first:
I work at a company with UNIX installed on a sparc-sun-solaris platform;
the OS version is SunOS 5.9. Several of us who work here have been
advocating for the installation of R on this server. The IT security
group at my company prefers not to install the gcc compilers on our UNIX
production servers;
2010 Jun 19
1
more powerful iconv
R community,
As you may know, R's iconv doesn't work well converting to and from
encodings that allow embedded nulls. For example
> iconv("foo", to="UTF-16")
Error in iconv("foo", to = "UTF-16") :
embedded nul in string: '\xff\xfef\0o\0o\0'
However, I don't believe embedded nulls are at issue here, but rather
that R's iconv
2007 Dec 20
1
64-bit R build with Studio 12 on Sparc v9
Hi,
I'm working on a server with a sparcv9 chip using SunOS 5.9 Generic May
2002. The compilers are the Sun Studio 12 compilers. I'm trying to build
a 64-bit version of R-2.6.1, and while the configure script runs, the
make does not.
Here are the options I set in config.site:
________________________________________________________________________
_
R_PAPERSIZE=letter
CC="cc
Control statements with condition with greater than one should give error (not just warning) [PATCH]
2017 Mar 03
2
Control statements with condition with greater than one should give error (not just warning) [PATCH]
I'd like to propose that the whenever the length of condition passed
to an if or a while statement differs from one, an error is produced
rather than just a warning as today:
> x <- 1:2
> if (x == 1) message("x == 1")
x == 1
Warning message:
In if (x == 1) message("x == 1") :
the condition has length > 1 and only the first element will be used
There are
2006 Jan 21
1
A patch for do_sample: check replace arg
A colleague sent me the following:
If you specify probabilities in the 'sample' function and forget
to type 'prob=...', then you get nonsense. E.g.
sample(1:10,1,c(0,0,0,0,1,0,0,0,0,0))
does not filter '5', while
sample(1:10,1,prob=c(0,0,0,0,1,0,0,0,0,0))
does it correctly. I wish this would return an error because the
2012 Feb 26
2
Dealing with NAs in C
Hi.
I am currently converting a lot of R code to C in order to make it more
efficient. A lot of the data involves NAs. As the data is mainly integers >
0, I am just setting all NAs to 0 then sending it to the C code then
resetting them to NAs again after the C program is done, to be compatible
with the rest of the R code.
Is there a more efficient way to deal with NAs in C? I have used
2023 Nov 07
1
c(NA, 0+1i) not the same as c(as.complex(NA), 0+1i)?
Thanks Martin. My hang-up was not on what the outcome of as.complex(NA)
should be, but rather, how I should read code like c(x, y) generally. Till
now, I have thought of it like 'c(x, y)' is c(as(x, typeof(y)), y)` when
"type(y) > type(x)". Basically in my mind, "coercion" in R <->
as.<newtype>(.) (or coerceVector() in C).
So I tracked down the source